"au:"Haihan Zhang"" — arXiv2 Search

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/ Date/ Name

"au:"Haihan Zhang"" — arXiv2 Search

Showing 1–6 of 6 results

/ Date/ Name

Feb 13, 2025Scaling Law for Stochastic Gradient Descent in Quadratically Parameterized Linear Regression Feb 13, 2025Optimal Algorithms in Linear Regression under Covariate Shift: On the Importance of Precondition Sep 15, 2024The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimization May 28, 2025Learning Curves of Stochastic Gradient Descent in Kernel Regression Oct 14, 2025Reliable Fine-Grained Evaluation of Natural Language Math Proofs Oct 12, 2022Bregman Divergence-Based Data Integration with Application to Polygenic Risk Score (PRS) Heterogeneity Adjustment